While working on the 2nd edition of MDRES we noticed that the number of vertices of the coastline polygon of the GSHHG example described in an earlier post did not have the 28033 vertices as expected from the original data set. The number of vertices, as counted by vector graphics software such as Adobe Illustrator CC 2017 was 14398 instead. This was a surprise and important enough to write this note to the readers of both the MRES and MDRES book. Continue reading “MATLAB Does ‘Some Optimization’ When Drawing Line Vertices, Support Says”

Detecting change points, such as abrupt transitions in the mean, the variance, the trend in time series is an important task of modern time series analysis. As an example, possible tipping points in the Earth’s climate system are currently being intensively investigated. Detecting, not predicting, change points in time series can be done using various methods with MATLAB, including the function findchangepts introduced with release R2016a and contained in the Signal Processing Toolbox. Continue reading “Detecting Change Points in Time Series with MATLAB”

Bioturbation (or benthic mixing) causes significant distortions in marine stable isotope signals and other palaeoceanographic records. In an earlier post I introduced a MATLAB-based model to study the effect of bioturbation on isotopic signals from stratigraphic carriers such as foraminifera. This post will demonstrate how to create a publishable figure showing the uppermost layers of a sediment sequence affected by bioturbation. The following posts will introduce MATLAB-based animations of the benthic mixing. Continue reading “MATLAB-Based Simulation of Bioturbation, Part 2”

About me

I am a geoscientist, apl. professor of paleoclimate dynamics at the University of Potsdam. I have been using MATLAB since late 1992, especially for the analysis of paleoclimatic series. Please visit my university webpage http://martinhtrauth.de